title: Fusion of lung MR/CT images through lung vessel registration.
abstract: Lung perfusion analysis with sequential contrasted MRI is an important clinical tool. This work is part of larger research in which the objective of fusing lung perfusion analysis and lung anatomical structures. In this work, it is proposed a multimodality MR/CT lung fusion algorithm based on lung vessel determination that analyzes lung perfusion. 3D contrasted MR and 3D CT images are first normalized (slice thickness, resolution and pixel intensity), then lung features are determined and elastically registered. The registration algorithm was checked by mapping in both directions, from MR to CT and vice-versa. A MR perfusion analysis result is fused with a 3D CT segmented lung vessel tree.
authors.forename: Yuma
authors.initials: Y
authors.lastname: Iwao
authors.forename: Yingying
authors.initials: Y
authors.lastname: Wei
authors.forename: Seiichiro
authors.initials: S
authors.lastname: Kagei
authors.forename: Toshiyuki
authors.initials: T
authors.lastname: Gotoh
authors.forename: Tae
authors.initials: T
authors.lastname: Iwasawa
authors.forename: Marcos de Sales Guerra
authors.initials: Mde S
authors.lastname: Tsuzuki
mesh_terms: D000465:Algorithms; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008168:Lung / Q000000981:diagnostic imaging*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D010477:Perfusion; D014057:Tomography, X-Ray Computed / Q000379:methods*